Gonzalez, Joseph E.

78 publications

ICLR 2026 SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention Jintao Zhang, Haoxu Wang, Kai Jiang, Shuo Yang, Kaiwen Zheng, Haocheng Xi, Ziteng Wang, Hongzhou Zhu, Min Zhao, Ion Stoica, Joseph E. Gonzalez, Jianfei Chen, Jun Zhu

ICLR 2026 Search Arena: Analyzing Search-Augmented LLMs Mihran Miroyan, Tsung-Han Wu, Logan King, Tianle Li, Jiayi Pan, Xinyan Hu, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Trevor Darrell, Narges Norouzi, Joseph E. Gonzalez

ICLR 2026 vAttention: Verified Sparse Attention via Sampling Aditya Desai, Kumar Krishna Agrawal, Shuo Yang, Alejandro Cuadron, Luis Gaspar Schroeder, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica

ICLR 2026 vCache: Verified Semantic Prompt Caching Luis Gaspar Schroeder, Aditya Desai, Alejandro Cuadron, Kyle Chu, Shu Liu, Mark Zhao, Stephan Krusche, Alfons Kemper, Matei Zaharia, Joseph E. Gonzalez

ICCV 2025 Discovering Divergent Representations Between Text-to-Image Models Lisa Dunlap, Joseph E. Gonzalez, Trevor Darrell, Fabian Caba Heilbron, Josef Sivic, Bryan Russell

ICML 2025 From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and Benchbuilder Pipeline Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica

NeurIPS 2025 Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling Tsung-Han Wu, Heekyung Lee, Jiaxin Ge, Joseph E. Gonzalez, Trevor Darrell, David M. Chan

ICML 2025 HashAttention: Semantic Sparsity for Faster Inference Aditya Desai, Shuo Yang, Alejandro Cuadron, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica

ICLR 2025 How to Evaluate Reward Models for RLHF Evan Frick, Tianle Li, Connor Chen, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Jiantao Jiao, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica

ICLR 2025 RouteLLM: Learning to Route LLMs from Preference Data Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, M Waleed Kadous, Ion Stoica

NeurIPS 2025 SimpleStrat: Diversifying Language Model Generation with Stratification Justin Wong, Yury Orlovskiy, Alexander Shypula, Michael Luo, Sanjit A. Seshia, Joseph E. Gonzalez

ICLR 2025 SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan

ICML 2025 The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models Shishir G Patil, Huanzhi Mao, Fanjia Yan, Charlie Cheng-Jie Ji, Vishnu Suresh, Ion Stoica, Joseph E. Gonzalez

ICLR 2025 VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models Lisa Dunlap, Krishna Mandal, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez

CVPR 2025 VisionArena: 230k Real World User-VLM Conversations with Preference Labels Christopher Chou, Lisa Dunlap, Koki Mashita, Krishna Mandal, Trevor Darrell, Ion Stoica, Joseph E. Gonzalez, Wei-Lin Chiang

ICLR 2025 Visual Haystacks: A Vision-Centric Needle-in-a-Haystack Benchmark Tsung-Han Wu, Giscard Biamby, Jerome Quenum, Ritwik Gupta, Joseph E. Gonzalez, Trevor Darrell, David Chan

NeurIPS 2025 Why Do Multi-Agent LLM Systems Fail? Mert Cemri, Melissa Z Pan, Shuyi Yang, Lakshya A Agrawal, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya Parameswaran, Dan Klein, Kannan Ramchandran, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica

ICLRW 2025 Why Do Multiagent Systems Fail? Melissa Z Pan, Mert Cemri, Lakshya A Agrawal, Shuyi Yang, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya Parameswaran, Kannan Ramchandran, Dan Klein, Joseph E. Gonzalez, Matei Zaharia, Ion Stoica

NeurIPS 2025 WorldModelBench: Judging Video Generation Models as World Models Dacheng Li, Yunhao Fang, Yukang Chen, Shuo Yang, Shiyi Cao, Justin Wong, Michael Luo, Xiaolong Wang, Hongxu Yin, Joseph E. Gonzalez, Ion Stoica, Song Han, Yao Lu

NeurIPS 2024 Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui

ECCV 2024 CARFF: Conditional Auto-Encoded Radiance Field for 3D Scene Forecasting Jiezhi Yang, Khushi P Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph E Gonzalez

ICML 2024 Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael Jordan, Joseph E. Gonzalez, Ion Stoica

CVPR 2024 Describing Differences in Image Sets with Natural Language Lisa Dunlap, Yuhui Zhang, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez, Serena Yeung-Levy

NeurIPS 2024 Gorilla: Large Language Model Connected with Massive APIs Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E. Gonzalez

ICLR 2024 LLM-Assisted Code Cleaning for Training Accurate Code Generators Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica

ICLR 2024 LMSYS-Chat-1m: A Large-Scale Real-World LLM Conversation Dataset Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang

WACV 2024 Multitask Vision-Language Prompt Tuning Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell

NeurIPS 2024 SGLang: Efficient Execution of Structured Language Model Programs Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, Chuyue Sun, Jeff Huang, Cody Hao Yu, Shiyi Cao, Christos Kozyrakis, Ion Stoica, Joseph E. Gonzalez, Clark Barrett, Ying Sheng

CVPR 2024 See Say and Segment: Teaching LMMs to Overcome False Premises Tsung-Han Wu, Giscard Biamby, David Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell

CVPR 2024 Self-Correcting LLM-Controlled Diffusion Models Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell

WACV 2024 Simple Token-Level Confidence Improves Caption Correctness Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach

NeurIPS 2024 Stylus: Automatic Adapter Selection for Diffusion Models Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph E. Gonzalez, Zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica

NeurIPS 2024 Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages Federico Mora, Justin Wong, Haley Lepe, Sahil Bhatia, Karim Elmaaroufi, George Varghese, Joseph E. González, Elizabeth Polgreen, Sanjit A. Seshia

NeurIPS 2023 Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E Gonzalez, Trevor Darrell

UAI 2023 Energy-Based Predictive Representations for Partially Observed Reinforcement Learning Tianjun Zhang, Tongzheng Ren, Chenjun Xiao, Wenli Xiao, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai

NeurIPSW 2023 Improving Code Style for Accurate Code Generation Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica

NeurIPS 2023 Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E Gonzalez, Ion Stoica

NeurIPSW 2023 LightSeq: : Sequence Level Parallelism for Distributed Training of Long Context Transformers Dacheng Li, Rulin Shao, Anze Xie, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Xuezhe Ma, Hao Zhang

ICLR 2023 Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai

ICLR 2023 TEMPERA: Test-Time Prompt Editing via Reinforcement Learning Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez

ICML 2023 The Wisdom of Hindsight Makes Language Models Better Instruction Followers Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez

ICLR 2023 Using Language to Extend to Unseen Domains Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach

JMLR 2023 VCG Mechanism Design with Unknown Agent Values Under Stochastic Bandit Feedback Kirthevasan Kandasamy, Joseph E Gonzalez, Michael I Jordan, Ion Stoica

ICLR 2022 C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez

ICLR 2022 Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Tianren Gao, Joseph E. Gonzalez, Peter Vajda

CoRL 2022 Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty Charles Packer, Nicholas Rhinehart, Rowan Thomas McAllister, Matthew A. Wright, Xin Wang, Jeff He, Sergey Levine, Joseph E. Gonzalez

NeurIPS 2021 Accelerating Quadratic Optimization with Reinforcement Learning Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E Gonzalez, Ion Stoica, Ken Goldberg

NeurIPSW 2021 C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez

CVPRW 2021 Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez

CVPR 2021 FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez

NeurIPS 2021 Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL Charles Packer, Pieter Abbeel, Joseph E Gonzalez

CoRL 2021 LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks Albert Wilcox, Ashwin Balakrishna, Brijen Thananjeyan, Joseph E. Gonzalez, Ken Goldberg

NeurIPS 2021 Learning Space Partitions for Path Planning Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E Gonzalez, Dan Klein, Yuandong Tian

NeurIPS 2021 MADE: Exploration via Maximizing Deviation from Explored Regions Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph E Gonzalez, Stuart J. Russell

ICLR 2021 NBDT: Neural-Backed Decision Tree Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez

NeurIPS 2021 NovelD: A Simple yet Effective Exploration Criterion Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E Gonzalez, Yuandong Tian

NeurIPS 2021 RLlib Flow: Distributed Reinforcement Learning Is a Dataflow Problem Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Joseph E Gonzalez, Ion Stoica

ICLR 2021 Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell

NeurIPS 2021 Representing Long-Range Context for Graph Neural Networks with Global Attention Zhanghao Wu, Paras Jain, Matthew Wright, Azalia Mirhoseini, Joseph E Gonzalez, Ion Stoica

ICCV 2021 Robust Object Detection via Instance-Level Temporal Cycle Confusion Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell

NeurIPS 2021 Taxonomizing Local Versus Global Structure in Neural Network Loss Landscapes Yaoqing Yang, Liam Hodgkinson, Ryan Theisen, Joe Zou, Joseph E Gonzalez, Kannan Ramchandran, Michael W. Mahoney

NeurIPSW 2021 The Effect of Model Size on Worst-Group Generalization Alan Le Pham, Eunice Chan, Vikranth Srivatsa, Dhruba Ghosh, Yaoqing Yang, Yaodong Yu, Ruiqi Zhong, Joseph E. Gonzalez, Jacob Steinhardt

ICCV 2021 Visual Transformers: Where Do Transformers Really Belong in Vision Models? Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph E. Gonzalez, Kurt Keutzer, Peter Vajda

NeurIPS 2020 A Statistical Framework for Low-Bitwidth Training of Deep Neural Networks Jianfei Chen, Yu Gai, Zhewei Yao, Michael W. Mahoney, Joseph E Gonzalez

NeurIPS 2020 Boundary Thickness and Robustness in Learning Models Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E Gonzalez, Kannan Ramchandran, Michael W. Mahoney

CVPR 2020 FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez

ICCV 2019 ACE: Adapting to Changing Environments for Semantic Segmentation Zuxuan Wu, Xin Wang, Joseph E. Gonzalez, Tom Goldstein, Larry S. Davis

NeurIPS 2019 ANODEV2: A Coupled Neural ODE Framework Tianjun Zhang, Zhewei Yao, Amir Gholami, Joseph E Gonzalez, Kurt Keutzer, Michael W. Mahoney, George Biros

CVPR 2019 Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video Samvit Jain, Xin Wang, Joseph E. Gonzalez

UAI 2019 Deep Mixture of Experts via Shallow Embedding Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez

CoRL 2019 On-Policy Robot Imitation Learning from a Converging Supervisor Ashwin Balakrishna, Brijen Thananjeyan, Jonathan Lee, Felix Li, Arsh Zahed, Joseph E. Gonzalez, Ken Goldberg

CVPR 2019 TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez

ECCVW 2018 Fast Semantic Segmentation on Video Using Block Motion-Based Feature Interpolation Samvit Jain, Joseph E. Gonzalez

UAI 2018 IDK Cascades: Fast Deep Learning by Learning Not to Overthink Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu, Joseph E. Gonzalez

ECCV 2018 SkipNet: Learning Dynamic Routing in Convolutional Networks Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, Joseph E. Gonzalez

JMLR 2016 Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling Neeraja J. Yadwadkar, Bharath Hariharan, Joseph E. Gonzalez, Randy Katz

NeurIPS 2014 Parallel Double Greedy Submodular Maximization Xinghao Pan, Stefanie Jegelka, Joseph E Gonzalez, Joseph K. Bradley, Michael I Jordan

NeurIPS 2013 Optimistic Concurrency Control for Distributed Unsupervised Learning Xinghao Pan, Joseph E Gonzalez, Stefanie Jegelka, Tamara Broderick, Michael I Jordan